A python-based program generating a part of information based on AggieAir images for the TSEB model: taking California vineyards as an example

This is a project aiming at using python program to generate fractional cover, canopy height, and canopy width over canopy height for the TSEB model based on images collected via the AggieAir small unmanned aerial system (sUAS) platform over California vineyards.

本项研究旨在利用 Python 编程语言，基于 AggieAir 小型无人机系统（sUAS）平台在加利福尼亚葡萄园收集的图像，生成 TSEB 模型所需的分数覆盖、树冠高度及树冠宽度与树冠高度的关系图。